Neural network

<h5>What is a neural network?</h5> <p>A neural network is a methodology or set of algorithms that functions similarly to a human brain. It applies deep learning techniques to recognize patterns and draws conclusions without human intervention.</p> <p>Neural networks, a type of machine learning, learn and refine results over time. They are capable of organically learning and modeling complex, non-linear relationships. They can also find shortcuts, which is highly valuable in big data analysis. Neural networks can infer relationships and self-repair when data is missing or error conditions occur.</p> <h5>What are the business benefits of a neural network?</h5> <p>A deep neural network offers multiple business benefits. For example, it can:</p> <ul> <li><b>Detect fraud.&nbsp;</b>Across multiple industries, neural networking helps prevent fraud by detecting and sending alerts on fraudulent schemes.</li> <li><b>Enhance customer relationships.</b> Businesses can use neural networks to better identify customer segments, target their marketing and sales efforts and determine why customers may be choosing their competition.</li> <li><b>Refine marketing initiatives.</b> Evolutionary neural network applications can be used to create segment-specific marketing campaign approaches. For instance:<ul> <li>In retail, they can make forecasts more accurate, providing a better picture of which products were purchased on a particular day, how many times and what combinations of products were purchased most often.</li> <li>In finance, they can provide more accurate exchange and stock rate predictions, and enable banks to offer loans based on statistical data collected.</li> <li>On manufacturing floors, they can analyze data from machinery, sensors, beacons and cameras to monitor and optimize plant processes.</li> <li>In insurance, they enable insurers to segment their customers for marketing, pricing and risk purposes.</li> </ul> </li> </ul>

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